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Accuracy was defined as the proportion of correct state classifications.
Given the hypothesis under investigation, the model contained EQ-5D health state classifications as independent variables.
Independent variables comprised EQ-5D health state classifications, distress, locus of control, and socio-demographic characteristics.
All other health state classifications arising from the CAMPHOR can be valued using the same approach.
Preference-based measures, such as the EQ-5D [ 3, 4], the SF-6D [ 5] and the HUI [ 6], are standardized multi-dimensional health state classifications [ 7].
In this paper, we examine the correspondence between VAS scores and health state classifications for a large sample, and identify variables which contribute to determining the VAS scores independently of the health states as classified.
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Table 1 Channel state classification according to for ideal energy detection.
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